UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 6
June-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIRFN06059


Registration ID:
403965

Page Number

358-363

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Title

PREDICT THE PRICE OF CAB TRIP USING CLASSIFIERS AND REGRESSION

Abstract

The main intention of the objective is to layout a set of rules that facilitates to predict the fare of Uber rides for future rides. Machine learning knowledge of algorithms is used to expand regression fashions. Uber supplies carrier to a huge wide variety of clients every day. Now it becomes simply crucial to arrange their records well, to come up with new commercial enterprise thoughts to get the first-class effects. Eventually, it will become honestly vital to estimate the fare costs correctly.

Key Words

Predictive analysis, fare prediction, pricing version

Cite This Article

"PREDICT THE PRICE OF CAB TRIP USING CLASSIFIERS AND REGRESSION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.358-363, June-2022, Available :http://www.jetir.org/papers/JETIRFN06059.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"PREDICT THE PRICE OF CAB TRIP USING CLASSIFIERS AND REGRESSION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp358-363, June-2022, Available at : http://www.jetir.org/papers/JETIRFN06059.pdf

Publication Details

Published Paper ID: JETIRFN06059
Registration ID: 403965
Published In: Volume 9 | Issue 6 | Year June-2022
DOI (Digital Object Identifier):
Page No: 358-363
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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